New offer - be the first one to apply!
July 1, 2026
AI/ML Engineer
Senior • On-site
120,996 - 165,000 USD/yr
Washington, DC
The Nuclear Company is hiring an AI Engineer to ship the machine learning and agent capabilities inside NOS, the software platform behind one of the largest nuclear buildouts in the United States. You'll work in the Platform Integration & AI/Data squad and report to the Director of Platform Integrations.
This is a hands-on engineering role. You'll embed ML models and LLM-driven workflows directly into the NOS applications our internal teams and partners use every day: site evaluation, red flag analysis, scheduling, lessons learned, and the stakeholder and project tools that run across active TNC projects. You'll work close to the metal: training and fine-tuning models, designing agent workflows against NOS data and tools, wiring up MCP interfaces, and standing up the evals and monitoring that keep AI features safe in production.
You'll partner daily with platform engineers, product engineers, and the nuclear domain experts who use what you ship. The team is small, the pace is fast, and the work is visible, what you build will be demoed to utilities, regulators, and financial partners making 20-to-30-year decisions about the future of American nuclear power.
Responsibilities
- Ship ML and AI features inside NOS. Train, fine-tune, and deploy models and LLM-based workflows into production, with the evals, monitoring, and safety controls that make them trustworthy.
- Build AI agents and agent workflows. Design agents that operate against NOS data and tools, including the MCP interfaces and tool-use frameworks they depend on.
- Own model quality end-to-end. Define eval criteria, acceptance thresholds, and regression suites for AI features.
- Partner across the squad with platform engineers and product engineers to bring models into production.
- Contribute to the data ontology and help structure NOS data for reliable model and agent usage.
- Build predictive and anomaly-detection models, including time-series analysis of sensor and operational data.
Required Experience
- Bachelor's or Master's in Computer Science, Machine Learning, Statistics, or a related technical field, or equivalent production experience.
- 5+ years of professional experience shipping ML or AI features into production.
- Strong Python and hands-on experience with modern ML and LLM tooling such as PyTorch and Hugging Face.
- Production experience with LLMs and agents including prompting, fine-tuning, RAG, evals, and tool use.
- Solid data engineering fundamentals and experience building data pipelines with large datasets.
- Experience with at least one major cloud platform, preferably AWS.
- Strong written and verbal communication skills.
Preferred Experience
- Experience with Palantir Foundry and AIP.
- Experience building agent systems with MCP or similar tool-use frameworks.
- MLOps experience including MLflow, SageMaker, Vertex AI, and CI/CD for models.
- Experience in regulated or safety-critical industries such as nuclear, aerospace, defense, energy, or medical.
- Background in time-series, sensor, or operational data.
- Experience performing exploratory data analysis and translating findings into product decisions.
Benefits
- Competitive compensation packages
- 401k with company match
- Medical, dental, vision plans
- Generous vacation policy, plus holidays
Estimated Starting Salary Range
The estimated starting salary range for this role is $121,000 - $165,000 annually less applicable withholdings and deductions, paid on a bi-weekly basis. The actual salary offered may vary based on relevant factors including experience, qualifications, tenure, skill set, geographic location, and certifications.
EEO Statement
The Nuclear Company is an equal opportunity employer committed to fostering an environment of inclusion in the workplace. We provide equal employment opportunities to all qualified applicants and employees without regard to protected characteristics.
Export Control
Certain positions may involve access to information and technology subject to export controls under U.S. law.
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